GenAI synthetic data create ethical challenges for scientists. Here’s how to address them.

David B. Resnik; Mohammad Hosseini; Jeff J.H. Kim; Gregory Epiphaniou; Carsten Maple

doi:10.1073/pnas.2409182122

Proceedings of the National Academy of Sciences

GenAI synthetic data create ethical challenges for scientists. Here’s how to address them.

D David B. Resnik (National Institute of Environmental Health Sciences, NIH) M Mohammad Hosseini J Jeff J.H. Kim (Department of Biomedical Engineering, University of Illinois Chicago) G Gregory Epiphaniou (University of Warwick) C Carsten Maple (University of Warwick)

View Original

APA MLA Chicago BibTeX RIS

Article Details

Journal Proceedings of the National Academy of Sciences

Volume / Issue Vol. 122, Issue 9

Published March 04, 2025

DOI 10.1073/pnas.2409182122

ISSN 0027-8424

Publisher National Academy of Sciences

Journal Info

Proceedings of the National Academy of Sciences

National Academy of Sciences

ISSN: 0027-8424 Life Sciences

Authors (5)

D

David B. Resnik

National Institute of Environmental Health Sciences, NIH

M

Mohammad Hosseini

J

Jeff J.H. Kim

Department of Biomedical Engineering, University of Illinois Chicago

G

Gregory Epiphaniou

University of Warwick

C

Carsten Maple

University of Warwick

GenAI synthetic data create ethical challenges for scientists. Here’s how to address them.

Article Details

Journal Info

Authors (5)

Related Articles from this Journal

Nature’s antivenom: Combinations of conserved rattlesnake serum metalloproteinase inhibitors block the lethal action of viper venoms

Accelerating <i>Campylobacter</i> zoonosis in the Anthropocene

Global threat exposure of islands in a changing world

A wearable patch for continuous levodopa monitoring in sweat: Towards exertion and power-free pharmacodynamic assessment in Parkinson’s disease

Energy prioritization and neurometabolic scaling in a social insect brain